CRIMINAL AND MISSING PERSON DETECTION USING FACE RECOGNITION
SWAPNIL JOSHI
, CHAITANYA MHASKE , NUTAN WAGH , NIKI SAHARE , PROF. SHARDUL SULEKHA
Crime Detection Neural network Deep learning Algorithm-task
Face recognition and detection are unimaginable inventions in today’s world when it comes to experiencing every crime. Protection, surveillance, entertainment sites, and criminal identification are just a few of the amazing applications. This device is particularly useful for customer screening in banks, airports, and other businesses. CNN needs more data for deep learning because it is still a facial recognition system, which is particularly problematic in the case of applications such as criminal investigations (murder, robbery, etc.). As a result, this project incorporates a face- recognition system that makes it easier and more reliable to scan for offenders, thus assisting police officers effectively and organization. In this paper, we implement the Deep Metric Learning to construct the face embedding for recognition process usingdib face recognition library
"CRIMINAL AND MISSING PERSON DETECTION USING FACE RECOGNITION", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 12, page no.653 - 656, December-2022, Available :https://ijsdr.org/papers/IJSDR2212099.pdf
Volume 7
Issue 12,
December-2022
Pages : 653 - 656
Paper Reg. ID: IJSDR_203067
Published Paper Id: IJSDR2212099
Downloads: 000347192
Research Area: Engineering
Country: -, -, --
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
